About
I am a postdoctoral researcher at the Center for AI in Medical Imaging, Department of Medicine, University of Bern.
During my Ph.D. studies, which commenced in March 2019, I have been involved in developing deep-learning-oriented solutions for medical applications, particularly in the analysis of surgical videos and volumetric images. My research encompassed a wide range of topics, including supervised, semi-supervised, and self-supervised deep learning methods for image quality enhancement, video action recognition, object detection, and semantic segmentation. These resulted in the development of novel neural network architectures to improve semantic segmentation performance for challenging scenarios such as deformable, scalable, occluded, blurry, transparent, and distorted objects. Moreover, leveraging sequence modeling networks (CNN-RNNs, 3D CNNs, and transformers), I have explored different directions to enhance action recognition, object localization, and instance tracking in surgical videos. I defended my Ph.D. dissertation with the highest grade at Klagenfurt University in Austria in October 2021 and continued my postdoctoral research at the same institution.
In February 2022, I joined the "AI for Medical Imaging" laboratory at the University of Bern as a postdoctoral researcher, where my work has primarily focused on "Domain Adaptation for Semantic Segmentation" for both medical and general images.
News
Negin Ghamsarian #unibern believes that #deeplearning can overcome current constraints in the feasibility of #AI techniques for surgical video analysis to better predict postoperative complications and allow more precise surgical interventions: https://t.co/dONUxaiPYO. pic.twitter.com/r5WnrzhM2W
— Universität Bern (@unibern) August 30, 2023
Fields of Experties and Research
Domain:
- Machine Learning
- Deep Learning
- Computer Vision
- Medical Image and Video Analysis
- Image Processing
- Video Processing
- Computer Vision
- Information Theory
Task:
- Supervised Learning
- Self-Supervised Learning
- Semi-Supervised Learning
- Domain Adaptation
- Generative Modeling
Subjects:
- Semantic Segmentation/Instance Segmentation
- Action Recognition/Irregularity Detection
- Object Tracking/Instance Tracking
Education
Ph.D. in Computer Science
03.2019 - 09.2021
Department of Information Technology, Alpen-Adria-Universität Klagenfurt, Austria
Dissertation Title: "Deep-Learning-Assisted Analysis of Cataract Surgery Videos"
Supervisors:
Assoc. Prof. Dr. Klaus Schoeffmann
Prof. Dr. Christian Timmerrer
Examiners:
Prof. Dr. Henning Müller, HES-SO Valais and University of Geneva, Switzerland
Prof. Dr. Raphael Sznitman, University of Bern, Switzerland
Grade: 1 - excellent
M.Sc. in Electrial Engineering
09.2013 - 10.2016
Department of Electrical Engineering, Ferdowsi University of Mashhad, Iran
Thesis Title: "Undetectable Video Steganography Based on Statistical Differences of Motion Vectors, Before and After Embedding"
Supervisor:
Prof. Morteza Khademi
Examiners:
Ass. Prof. Dr. Seyed Alireza Seyedin, Ferdowsi University of Mashhad, Iran
Prof. Dr. Raphael Sznitman, Ferdowsi University of Mashhad, Iran
Employement
Postdoctoral Researcher
02.2022 - Now
ARTORG Center for Biomedical Engineering Research, Department of Medicine, University of Bern
Postdoctoral Researcher
10.2019 - 12.2021
Department of Information Technology, Alpen-Adria-Universität Klagenfurt, Austria
Visiting Scholar
08.2021 - 09.2021
HES-SO, University of Applied Science Western Switzerland
Research Assistant
03.2019 - 09.2021
Department of Information Technology, Alpen-Adria-Universität Klagenfurt, Austria
Teaching
Biomedical Engineering Laboratories
02.2024 - 05.2024
University of Bern
Master's Course, Biomedical Engineering
Biomedical Engineering Laboratories
02.2023 - 05.2023
University of Bern
Master's Course, Biomedical Engineering
Biomedical Engineering Laboratories
02.2022 - 05.2022
University of Bern
Master's Course, Biomedical Engineering
Web Technologies
10.2019 - 01.2020
University of Klagenfurt
Bachelor's Course, Computer Science
Image and Video Processing with Matlab
06.2016 - 09.2016
Ferdowsi University of Mashhsad
Workshop, Electrical Engineering
Image Processing with Matlab
06.2015 - 09.2015
Ferdowsi University of Mashhsad
Workshop, Electrical Engineering
Fields and Waves Electromagnetics
09.2014 - 01.2015
Eqbal Institute of Higher Education
Bachelor's Course, Electrical Engineering-Electronics and Electrical Engineering-Robotics
Computer Skills
Selected Publications
- All
- PhD Dissertation
- Conference Papers
- Journal Papers
Academic Services
Journal Review:
- IEEE Transactions on Medical Imaging (TMI)
- Medical Image Analysis
- IEEE Transactions on Multimedia
- Multimedia Tools and Applications (MTAP)
- Multimedia Systems
- Journal of Clinical Medicine
- Expert Systems with Applications
- Biocybernetics and Biomedical Engineering
Program Committee:
- International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2024)
- International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2023)
- ACM International Conference on Multimedia Retrieval (ACM ICMR 2021)
- 27th International Conference on Multimedia Modeling (MMM 2021)
- Fourth Lifelog Search Challenge (LSC'21) at the ACM International Conference on Multimedia Retrieval (ICMR 2021)
- 18th Conference on Content-Based Multimedia Indexing (CBMI 2021)
- ACM Multimedia Asia (ACM MM Asia 2020)
- ACM Multimedia Conference 2020 (ACM MM 2020)
- International Conference on Multimedia Retrieval (ICMR 2020)
Organization Committee:
- Best Poster/Demo Committee, ACM International Conference on Multimedia Retrieval (ICMR 2020)
Contact
Location:
ARTORG Center for Biomedical Engineering Research, Murtenstrasse 50, 3008 Bern, Switzerland
Email:
negin.ghamsarian@unibe.ch
Call:
+41 31 632 75 91